• Support and/or lead analytics projects in supply chain, logistics, transportation, and data science domains.
• Apply strong technical and domain knowledge to build models, analyze datasets, and deliver actionable business insights.
• Drive continuous improvement initiatives within the analytics function to enhance tools, processes, and methodologies.
• Perform data purification, ETL workflows, and prepare high quality datasets for modeling and decision support.
• Develop clear, compelling visualizations and presentations to communicate insights to stakeholders.
• Collaborate across functions to understand business challenges and design analytical solutions.
• Take on additional responsibilities as needed based on project requirements.
Domain Expertise
• Working knowledge of supply chain, logistics, and transportation concepts.
Technical Skills
• Strong hands on expertise in Python, including the ability to build robust data science, ML, AI, and optimization models.
• Proficiency in SQL and/or SAS.
• Experience with ETL/data preparation and generating insights for business reviews.
• Exposure to supply chain or transportation modeling tools (e.g., Supply Chain Guru, Blue Yonder Transportation Modeler, or similar).
• Added advantage: Knowledge of AI/ML/optimization techniques and visualization tools such as Power BI or Tableau.
Values Based Competencies (VBCs)
Intermediate to advanced proficiency in:
• Integrity & Trust
• Building Inclusive Relationships
• Customer Focus
• Problem Solving
• Priority Setting
• Decision Making
• Bachelor’s or Master’s degree in Engineering/Technology, Supply Chain Management, Logistics, or related fields. MBA in Operations preferred.
• 2–6 years of experience in network design, transportation, optimization & simulation, machine learning, or AI.
• Strong proficiency in Python and SQL/SAS, with at least one independent project successfully completed.
• Experience using MS Office and standard statistics/data visualization tools.
• Strong communication, presentation, analytical, and project management skills.
• Ability to work collaboratively in team settings with high attention to detail.
• Willingness to travel up to 10% annually.
• Basic working knowledge of supply chain optimization tools (e.g., BY Transportation Modeler, Supply Chain Guru, or similar).
• Experience developing data science solutions in Python (ML, AI, Optimization).
• Skilled in Microsoft Office 365.
• Experience with visualization tools such as Power BI or Tableau.
Programming Languages: Knowledge of basic concepts and capabilities of SQL/SAS/Python programming; ability to use tools, techniques and platforms in order to write and modify programming languages.
Level Basic Understanding:
• Describes the basic concepts of programming and program construction activities.
• Uses programming documentation including program specifications in order to maintain standards.
• Describes the capabilities of major programming languages.
• Identifies locally relevant programming tools.
Query and Database Access Tools:
Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use.
Level Basic Understanding:
• Identifies query facilities that are available in one's own environment.
• Explains organization's standards, procedures and practices for building queries.
• Describes the functions and features of query and database access tools.
• Identifies the key benefits and drawbacks of query languages.
Business Statistics:
Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions.
Level Basic Understanding:
• Identifies and describes basic statistical measures.
• Summarizes the underlying uncertainties associated with statistical analysis and reporting.
Accuracy and Attention to Detail:
Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision.
Level Working Knowledge:
• Accurately gauges the impact and cost of errors, omissions, and oversights.
• Utilizes specific approaches and tools for checking and cross-checking outputs.
• Processes limited amounts of detailed information with good accuracy.
• Learns from mistakes and applies lessons learned.
• Develops and uses checklists to ensure that information goes out error-free.
Analytical Thinking:
Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems.
Level Basic Understanding:
• Names specific tools or techniques that can be used to support the analytical thinking process.
• Describes specific software applications or products used for business analytics.
• Gives examples of how analytical thinking has been used to resolve problems.
